Papers by Mohammad Albinhassan
Learning and Enforcing Context-Sensitive Control for LLMs (2025.acl-srw)
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| Challenge: | Large Language Models (LLMs) have been able to achieve syntactic correctness but ensuring semantic validity requires additional mechanisms. |
| Approach: | They propose a framework that automatically learns context-sensitive constraints from LLM interactions through syntactic exploration and constraint exploitation. |
| Outcome: | The proposed framework outperforms larger models and state-of-the-art models in learning and generation of large LLMs. |